Subject
Intelligent Interactive Systems
| 1. | Course Title |
Intelligent Interactive Systems Intelligent interactive systems |
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| 2. | Code | m23_s_016 | ||||||||||||
| 3. | Study Programme | — | ||||||||||||
| 4. | Organizer of the study programme (unit, institute, department or division) | Faculty of Computer Science and Engineering | ||||||||||||
| 5. | Degree level (first, second, third cycle) | Second cycle | ||||||||||||
| 6. | Academic year / semester | 9 / Winter | ||||||||||||
| 7. | Number of ECTS credits | 6 | ||||||||||||
| 8. | Teacher | Ana Madevska Bogdanova | ||||||||||||
| 9. | Prerequisites for enrolling in the course | — | ||||||||||||
| 10. | Objectives of the course programme (competences) | The goal of the course is for the student to acquire knowledge of new intelligent methodologies and technologies for more natural interaction. Of particular importance is the scientific approach to problems based on relevant theoretical and experimental research, and following trends in intelligent technologies, cognitive sciences, and paradigms in interactive design. Upon completion of the course, the student is expected to: is familiar with the theoretical and empirical research that forms the basis of the new approaches in Design of intelligent interactive systems is familiar with the techniques and methodologies for the design and implementation of intelligent interactive systems has the ability and skills to select the appropriate methods for analysis, design, and Implementation of an intelligent interactive system according to the problem and domain from interest has the ability to apply advanced technologies and new paradigms for design and implementation of an intelligent interactive system in selected scenarios, contexts and application domains has the ability to design an evaluation procedure that is appropriate to the context and the evaluation, with which the intelligent interactive system will be validated at different moments of its development. |
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| 11. | Course content | The course covers content that addresses the selection of the most appropriate intelligent techniques (applied artificial intelligence and machine learning) to support human–computer interaction tailored to the abilities, possibilities, and preferences of an individual or a group of users. • Intelligent mobile, ubiquitous, and intelligent environments. • Affective interaction. • Cognitive and social modeling - modeling and analysis of the behavior of users and user groups • Multimodal interaction using the latest intelligent technologies from the fields of deep learning, reinforcement learning, and agent-based systems. • Application domains and case studies (recommendation systems, decision support, assistive systems, multimodal interaction) • Design of a procedure and scenario for comparing experimental studies and evaluating intelligent interactive systems • Recommendation systems • Explainable AI |
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| 12. | Learning methods | Lectures supported by slide presentations, interactive lectures, exercises (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defense of a project assignment and seminar paper, learning in an electronic environment (forums, consultations). | ||||||||||||
| 13. | Total available time | 6 ECTS x 30 hours = 180 hours | ||||||||||||
| 14. | Distribution of available time | 60 + 0 + 45 + 45 + 30 = 180 hours | ||||||||||||
| 15. | Forms of teaching activities |
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| 16. | Other forms of activities |
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| 17. | Assessment method |
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| 18. | Grading criteria (points / grade) |
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| 19. | Requirement for obtaining a signature and taking the final exam | Activities 15.1 to 15.2 and 16.1 to 16.3 have been completed. | ||||||||||||
| 20. | Language of instruction | Macedonian and English | ||||||||||||
| 21. | Method for monitoring the quality of teaching | Internal evaluation and survey mechanisms | ||||||||||||
| 22. | Literature |
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